Mask. Must be convertible to an array of booleanswiththe same shapeas`data`.Trueindicates amasked(i.e. invalid)data. fill_value : scalar, optional Value used to fillinthe masked values when necessary. IfNone, a default based on the data-typeisused. data就不多说了,一个array_like,tuple...
Parameters ———- data : array_like Input data. mask : sequence, optional Mask. Must be convertible to an array of booleans with the same shape as `data`. True indicates a masked (i.e. invalid) data. fill_value : scalar, optional Value used to fill in the masked values when necess...
scales: 1D array of anchor sizes in pixels. Example: [32, 64, 128] ratios: 1D array of anchor ratios of width/height. Example: [0.5, 1, 2] shape: [height, width] spatial shape of the feature map over which to generate anchors. feature_stride: Stride of the feature map relative to...
= int(h / 2**6) or w / 2**6 != int(w / 2**6): raise Exception("Image size must be dividable by 2 at least 6 times " "to avoid fractions when downscaling and upscaling." "For example, use 256, 320, 384, 448, 512, ... etc. ") # Inputs input_image = KL.Input( sh...
14.报错:AssertionError: len(images) must be equal to BATCH_SIZE。 解决方法:train.py文件修改下面两个参数值; GPU_COUNT = 1 IMAGES_PER_GPU = 1 目录 1.版本信息 2.labelme中的json_to_dataset.py修改源代码,新版本中加入旧版本的yaml部分代码; ...
inputs: list of tensors. All must have the same first dimension length graph_fn: A function that returns a TF tensor that's part of a graph. batch_size: number of slices to divide the data into. names: If provided, assigns names to the resulting tensors. ...
Returns: bbox array [num_instances, (y1, x1, y2, x2)].""" boxes = np.zeros([mask.shape[-1], 4], dtype=np.int32) for i in range(mask.shape[-1]): m = mask[:, :, i] # Bounding box.horizontal_indicies = np.where(np.any(m, axis=0))[0] ...
def log(text, array=None): """Prints a text message. And, optionally, if a Numpy array is provided it prints it's shape, min, and max values. """ if array is not None: text = text.ljust(25) text += ("shape: {:20} ".format(str(array.shape))) if array.size:...
54 - mask (_type_): The mask to apply to the image, i.e. regions to inpaint. 55 - It can be a ``PIL.Image``, or a ``height x width`` ``np.array`` or a ``1 x height x width`` 56 - ``torch.Tensor`` or a ``batch x 1 x height x width`` ``torch.Tensor``....
首先,源码来源: https://github.com/matterport/Mask_RCNNgithub.com/matterport/Mask_RCNN 实验所用数据集为3类缺陷:划痕、凸起、凹坑 标注格式:VGG Image Annotator(VIA) 这里注意:我这里用的是1.0.6版本,因为涉及到后续获取json文件中的关键字段读取,所以尽量保持版本一致减少麻烦。